20 Data Science Projects with Source Code for Beginners

The Dataquest Download

Webinar

Predict House Prices Using Machine Learning

Join Dataquest founder and CEO Vik Paruchuri on Thursday, September 1st at 5:30 PM UTC to predict house prices using machine learning. In this project, you'll learn how to load, merge, and combine data to train a random forest model; how to create an initial machine learning model that predicts if house prices will increase or decrease; and how to measure error using backtesting and improve our model with new predictors

Career Tips

20 Data Science Projects with Source Code for Beginners 

In this article, we'll show you 20 must-have projects (and their source code) for beginners to include in their portfolios. They cover the spectrum of skills every data scientist needs at every phase in the data science workflow. Completing these projects will help you stand out from the crowd in your job search. 

What We're Watching

How to Sell Your Own Data — And Why You Might Want to?

Every piece of data about you can be collected — and has likely been sold. Whether you’re examining data through the lens of Harvard professor Shoshana Zuboff’s surveillance capitalism or the Community Justice Exchange’s data criminalization, at the end of the day, we’re all getting a bad deal. Rather than feeling doomed, though, some people see the inevitability of data collection and wonder, “How can I use this to my advantage?”

Tutorial

How to Read an Excel File in Python (w/ 21 Code Examples)

Companies around the world, both big and small, are using Microsoft Excel to store, organize, analyze, and visualize data. As a data professional, when you combine Python with Excel, you create a unique data analysis bundle that unlocks the value of the enterprise data. In this tutorial, we’re going to show you how to read and work with Excel files in Python.

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